Triple
T4661767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemaître–Tolman metric |
E102548
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
LTB metric
The LTB metric is an exact solution of Einstein’s field equations describing a spherically symmetric, inhomogeneous dust-filled universe used in cosmology and gravitational collapse studies.
|
E458534
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LTB metric | Statement: [Lemaître–Tolman metric, hasAlternativeName, LTB metric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LTB metric Context triple: [Lemaître–Tolman metric, hasAlternativeName, LTB metric]
-
A.
TLB
TLB is a popular paraphrased English version of the Bible aimed at making the text easily understandable in contemporary language.
-
B.
TLT
TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
-
C.
LTL
LTL is the former official currency code for the Lithuanian litas, which was replaced by the euro in 2015.
-
D.
LTL
LTL is the National Rail station code for Littleborough railway station in Greater Manchester, England.
-
E.
Lt
Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LTB metric Triple: [Lemaître–Tolman metric, hasAlternativeName, LTB metric]
Generated description
The LTB metric is an exact solution of Einstein’s field equations describing a spherically symmetric, inhomogeneous dust-filled universe used in cosmology and gravitational collapse studies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LTB metric Target entity description: The LTB metric is an exact solution of Einstein’s field equations describing a spherically symmetric, inhomogeneous dust-filled universe used in cosmology and gravitational collapse studies.
-
A.
TLB
TLB is a popular paraphrased English version of the Bible aimed at making the text easily understandable in contemporary language.
-
B.
TLT
TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
-
C.
LTL
LTL is the former official currency code for the Lithuanian litas, which was replaced by the euro in 2015.
-
D.
LTL
LTL is the National Rail station code for Littleborough railway station in Greater Manchester, England.
-
E.
Lt
Lt is the standard military abbreviation for the commissioned officer rank of Lieutenant in the Australian Army.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632b7fb88190821f213620719d6b |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfafcd3908190aabf7975017ce337 |
completed | March 21, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69bdfc7b84108190af39c7780f702745 |
completed | March 21, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfd3856b48190a44f49da5fde38f6 |
completed | March 21, 2026, 2:06 a.m. |
Created at: March 20, 2026, 1:15 p.m.